Overview

Brought to you by YData

Dataset statistics

Number of variables17
Number of observations2875
Missing cells925
Missing cells (%)1.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.5 MiB
Average record size in memory1.6 KiB

Variable types

Numeric5
Text5
Categorical6
DateTime1

Alerts

State has constant value "IL" Constant
Facility Type is highly imbalanced (68.9%) Imbalance
Risk is highly imbalanced (61.2%) Imbalance
City is highly imbalanced (98.6%) Imbalance
Violations has 855 (29.7%) missing values Missing
Inspection ID has unique values Unique

Reproduction

Analysis started2025-04-14 22:58:35.432311
Analysis finished2025-04-14 22:58:41.354894
Duration5.92 seconds
Software versionydata-profiling vv4.16.1
Download configurationconfig.json

Variables

Inspection ID
Real number (ℝ)

Unique 

Distinct2875
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2611397.4
Minimum2609901
Maximum2613137
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.6 KiB
2025-04-14T22:58:41.467064image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum2609901
5-th percentile2610047.7
Q12610625.5
median2611346
Q32612150.5
95-th percentile2612895.3
Maximum2613137
Range3236
Interquartile range (IQR)1525

Descriptive statistics

Standard deviation901.06044
Coefficient of variation (CV)0.00034504914
Kurtosis-1.1217216
Mean2611397.4
Median Absolute Deviation (MAD)759
Skewness0.14088144
Sum7.5077676 × 109
Variance811909.92
MonotonicityNot monotonic
2025-04-14T22:58:41.601375image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2610068 1
 
< 0.1%
2609909 1
 
< 0.1%
2609927 1
 
< 0.1%
2610482 1
 
< 0.1%
2610081 1
 
< 0.1%
2610172 1
 
< 0.1%
2610336 1
 
< 0.1%
2611120 1
 
< 0.1%
2610622 1
 
< 0.1%
2610361 1
 
< 0.1%
Other values (2865) 2865
99.7%
ValueCountFrequency (%)
2609901 1
< 0.1%
2609903 1
< 0.1%
2609904 1
< 0.1%
2609905 1
< 0.1%
2609906 1
< 0.1%
2609907 1
< 0.1%
2609908 1
< 0.1%
2609909 1
< 0.1%
2609910 1
< 0.1%
2609911 1
< 0.1%
ValueCountFrequency (%)
2613137 1
< 0.1%
2613134 1
< 0.1%
2613132 1
< 0.1%
2613130 1
< 0.1%
2613121 1
< 0.1%
2613120 1
< 0.1%
2613119 1
< 0.1%
2613118 1
< 0.1%
2613117 1
< 0.1%
2613115 1
< 0.1%
Distinct1950
Distinct (%)67.8%
Missing0
Missing (%)0.0%
Memory size213.2 KiB
2025-04-14T22:58:42.009014image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length56
Median length38
Mean length18.899478
Min length2

Characters and Unicode

Total characters54336
Distinct characters77
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1346 ?
Unique (%)46.8%

Sample

1st rowHAPPY MARKET
2nd rowSAT KAIVAL FOOD INC/SUBWAY
3rd rowDANCEN GRILL RESTAURANT, INC.
4th rowMARYS TAQUERIA AND GROCERY STORE, INC.
5th rowKOTO
ValueCountFrequency (%)
277
 
3.1%
inc 247
 
2.8%
restaurant 159
 
1.8%
school 134
 
1.5%
chicago 133
 
1.5%
the 120
 
1.4%
elementary 116
 
1.3%
subway 112
 
1.3%
llc 99
 
1.1%
cafe 95
 
1.1%
Other values (2518) 7315
83.1%
2025-04-14T22:58:42.541063image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5970
 
11.0%
A 4622
 
8.5%
E 4381
 
8.1%
O 3121
 
5.7%
R 3077
 
5.7%
I 3047
 
5.6%
S 2935
 
5.4%
N 2934
 
5.4%
T 2626
 
4.8%
C 2603
 
4.8%
Other values (67) 19020
35.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 54336
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
5970
 
11.0%
A 4622
 
8.5%
E 4381
 
8.1%
O 3121
 
5.7%
R 3077
 
5.7%
I 3047
 
5.6%
S 2935
 
5.4%
N 2934
 
5.4%
T 2626
 
4.8%
C 2603
 
4.8%
Other values (67) 19020
35.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 54336
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
5970
 
11.0%
A 4622
 
8.5%
E 4381
 
8.1%
O 3121
 
5.7%
R 3077
 
5.7%
I 3047
 
5.6%
S 2935
 
5.4%
N 2934
 
5.4%
T 2626
 
4.8%
C 2603
 
4.8%
Other values (67) 19020
35.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 54336
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
5970
 
11.0%
A 4622
 
8.5%
E 4381
 
8.1%
O 3121
 
5.7%
R 3077
 
5.7%
I 3047
 
5.6%
S 2935
 
5.4%
N 2934
 
5.4%
T 2626
 
4.8%
C 2603
 
4.8%
Other values (67) 19020
35.0%
Distinct1903
Distinct (%)66.3%
Missing6
Missing (%)0.2%
Memory size209.5 KiB
2025-04-14T22:58:42.856776image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length56
Median length40
Mean length17.671314
Min length2

Characters and Unicode

Total characters50699
Distinct characters76
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1292 ?
Unique (%)45.0%

Sample

1st rowHAPPY MARKET
2nd rowSAT KAIVAL FOOD INC/SUBWAY
3rd rowDANCEN
4th rowMARYS FOOD AND GROCERY STORE
5th rowKOTO
ValueCountFrequency (%)
251
 
3.1%
school 151
 
1.8%
restaurant 141
 
1.7%
elementary 124
 
1.5%
the 118
 
1.4%
subway 113
 
1.4%
cafe 98
 
1.2%
grill 87
 
1.1%
inc 85
 
1.0%
chicago 80
 
1.0%
Other values (2454) 6948
84.8%
2025-04-14T22:58:43.316849image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5372
 
10.6%
A 4376
 
8.6%
E 4304
 
8.5%
O 2961
 
5.8%
R 2887
 
5.7%
S 2868
 
5.7%
I 2772
 
5.5%
N 2611
 
5.2%
T 2480
 
4.9%
C 2240
 
4.4%
Other values (66) 17828
35.2%

Most occurring categories

ValueCountFrequency (%)
(unknown) 50699
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
5372
 
10.6%
A 4376
 
8.6%
E 4304
 
8.5%
O 2961
 
5.8%
R 2887
 
5.7%
S 2868
 
5.7%
I 2772
 
5.5%
N 2611
 
5.2%
T 2480
 
4.9%
C 2240
 
4.4%
Other values (66) 17828
35.2%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 50699
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
5372
 
10.6%
A 4376
 
8.6%
E 4304
 
8.5%
O 2961
 
5.8%
R 2887
 
5.7%
S 2868
 
5.7%
I 2772
 
5.5%
N 2611
 
5.2%
T 2480
 
4.9%
C 2240
 
4.4%
Other values (66) 17828
35.2%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 50699
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
5372
 
10.6%
A 4376
 
8.6%
E 4304
 
8.5%
O 2961
 
5.8%
R 2887
 
5.7%
S 2868
 
5.7%
I 2772
 
5.5%
N 2611
 
5.2%
T 2480
 
4.9%
C 2240
 
4.4%
Other values (66) 17828
35.2%

License #
Real number (ℝ)

Distinct2231
Distinct (%)77.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2153165.9
Minimum0
Maximum4080354
Zeros8
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size22.6 KiB
2025-04-14T22:58:43.641606image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile22936.5
Q11922096
median2555533
Q32900652
95-th percentile3010517
Maximum4080354
Range4080354
Interquartile range (IQR)978556

Descriptive statistics

Standard deviation1032216.4
Coefficient of variation (CV)0.47939471
Kurtosis0.1473032
Mean2153165.9
Median Absolute Deviation (MAD)400519
Skewness-1.2271141
Sum6.1903521 × 109
Variance1.0654706 × 1012
MonotonicityNot monotonic
2025-04-14T22:58:43.784954image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8
 
0.3%
2196054 5
 
0.2%
2890832 4
 
0.1%
47091 4
 
0.1%
1362 4
 
0.1%
2803058 4
 
0.1%
2891013 4
 
0.1%
2469629 4
 
0.1%
2807913 3
 
0.1%
2373870 3
 
0.1%
Other values (2221) 2832
98.5%
ValueCountFrequency (%)
0 8
0.3%
747 2
 
0.1%
1206 1
 
< 0.1%
1325 1
 
< 0.1%
1362 4
0.1%
1366 1
 
< 0.1%
1372 1
 
< 0.1%
1375 1
 
< 0.1%
1387 1
 
< 0.1%
1392 1
 
< 0.1%
ValueCountFrequency (%)
4080354 1
< 0.1%
4080337 1
< 0.1%
4080235 1
< 0.1%
4076132 1
< 0.1%
4074376 1
< 0.1%
4074227 1
< 0.1%
4067403 1
< 0.1%
3931571 1
< 0.1%
3931156 1
< 0.1%
3930926 1
< 0.1%

Facility Type
Categorical

Imbalance 

Distinct36
Distinct (%)1.3%
Missing23
Missing (%)0.8%
Memory size189.8 KiB
Restaurant
2068 
School
331 
Grocery Store
 
199
Children's Services Facility
 
74
Daycare Above and Under 2 Years
 
31
Other values (31)
 
149

Length

Max length38
Median length10
Mean length10.575386
Min length5

Characters and Unicode

Total characters30161
Distinct characters54
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)0.4%

Sample

1st rowGrocery Store
2nd rowRestaurant
3rd rowRestaurant
4th rowRestaurant
5th rowRestaurant

Common Values

ValueCountFrequency (%)
Restaurant 2068
71.9%
School 331
 
11.5%
Grocery Store 199
 
6.9%
Children's Services Facility 74
 
2.6%
Daycare Above and Under 2 Years 31
 
1.1%
Bakery 29
 
1.0%
Daycare (2 - 6 Years) 24
 
0.8%
Long Term Care 13
 
0.5%
Mobile Food Preparer 12
 
0.4%
Liquor 12
 
0.4%
Other values (26) 59
 
2.1%
(Missing) 23
 
0.8%

Length

2025-04-14T22:58:43.916103image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
restaurant 2068
58.3%
school 335
 
9.4%
store 202
 
5.7%
grocery 200
 
5.6%
facility 75
 
2.1%
children's 74
 
2.1%
services 74
 
2.1%
daycare 60
 
1.7%
years 58
 
1.6%
2 58
 
1.6%
Other values (48) 343
 
9.7%

Most occurring characters

ValueCountFrequency (%)
a 4486
14.9%
t 4426
14.7%
r 3084
10.2%
e 2994
9.9%
s 2285
7.6%
n 2245
7.4%
R 2097
7.0%
u 2082
6.9%
o 1171
 
3.9%
c 741
 
2.5%
Other values (44) 4550
15.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 30161
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
a 4486
14.9%
t 4426
14.7%
r 3084
10.2%
e 2994
9.9%
s 2285
7.6%
n 2245
7.4%
R 2097
7.0%
u 2082
6.9%
o 1171
 
3.9%
c 741
 
2.5%
Other values (44) 4550
15.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 30161
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
a 4486
14.9%
t 4426
14.7%
r 3084
10.2%
e 2994
9.9%
s 2285
7.6%
n 2245
7.4%
R 2097
7.0%
u 2082
6.9%
o 1171
 
3.9%
c 741
 
2.5%
Other values (44) 4550
15.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 30161
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
a 4486
14.9%
t 4426
14.7%
r 3084
10.2%
e 2994
9.9%
s 2285
7.6%
n 2245
7.4%
R 2097
7.0%
u 2082
6.9%
o 1171
 
3.9%
c 741
 
2.5%
Other values (44) 4550
15.1%

Risk
Categorical

Imbalance 

Distinct4
Distinct (%)0.1%
Missing3
Missing (%)0.1%
Memory size197.1 KiB
Risk 1 (High)
2422 
Risk 2 (Medium)
308 
Risk 3 (Low)
 
138
All
 
4

Length

Max length15
Median length13
Mean length13.152507
Min length3

Characters and Unicode

Total characters37774
Distinct characters23
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowRisk 2 (Medium)
2nd rowRisk 1 (High)
3rd rowRisk 1 (High)
4th rowRisk 1 (High)
5th rowRisk 1 (High)

Common Values

ValueCountFrequency (%)
Risk 1 (High) 2422
84.2%
Risk 2 (Medium) 308
 
10.7%
Risk 3 (Low) 138
 
4.8%
All 4
 
0.1%
(Missing) 3
 
0.1%

Length

2025-04-14T22:58:44.019869image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T22:58:44.107156image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
risk 2868
33.3%
1 2422
28.1%
high 2422
28.1%
2 308
 
3.6%
medium 308
 
3.6%
3 138
 
1.6%
low 138
 
1.6%
all 4
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
5736
15.2%
i 5598
14.8%
R 2868
7.6%
s 2868
7.6%
k 2868
7.6%
( 2868
7.6%
) 2868
7.6%
1 2422
6.4%
H 2422
6.4%
g 2422
6.4%
Other values (13) 4834
12.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 37774
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
5736
15.2%
i 5598
14.8%
R 2868
7.6%
s 2868
7.6%
k 2868
7.6%
( 2868
7.6%
) 2868
7.6%
1 2422
6.4%
H 2422
6.4%
g 2422
6.4%
Other values (13) 4834
12.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 37774
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
5736
15.2%
i 5598
14.8%
R 2868
7.6%
s 2868
7.6%
k 2868
7.6%
( 2868
7.6%
) 2868
7.6%
1 2422
6.4%
H 2422
6.4%
g 2422
6.4%
Other values (13) 4834
12.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 37774
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
5736
15.2%
i 5598
14.8%
R 2868
7.6%
s 2868
7.6%
k 2868
7.6%
( 2868
7.6%
) 2868
7.6%
1 2422
6.4%
H 2422
6.4%
g 2422
6.4%
Other values (13) 4834
12.8%
Distinct1971
Distinct (%)68.6%
Missing0
Missing (%)0.0%
Memory size210.5 KiB
2025-04-14T22:58:44.420107image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length36
Median length31
Mean length17.91687
Min length10

Characters and Unicode

Total characters51511
Distinct characters68
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1322 ?
Unique (%)46.0%

Sample

1st row2334 S WENTWORTH AVE
2nd row1916 S STATE ST
3rd row5114 N LINCOLN AVE
4th row1901 S CANALPORT AVE
5th row258 W 31ST ST
ValueCountFrequency (%)
ave 1430
 
12.2%
w 1136
 
9.7%
st 922
 
7.9%
n 856
 
7.3%
s 660
 
5.7%
e 222
 
1.9%
rd 204
 
1.7%
milwaukee 91
 
0.8%
north 82
 
0.7%
western 80
 
0.7%
Other values (2080) 5993
51.3%
2025-04-14T22:58:44.889113image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8817
17.1%
E 3479
 
6.8%
A 3131
 
6.1%
S 2549
 
4.9%
N 2300
 
4.5%
1 2204
 
4.3%
T 2076
 
4.0%
0 1789
 
3.5%
R 1770
 
3.4%
V 1720
 
3.3%
Other values (58) 21676
42.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 51511
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
8817
17.1%
E 3479
 
6.8%
A 3131
 
6.1%
S 2549
 
4.9%
N 2300
 
4.5%
1 2204
 
4.3%
T 2076
 
4.0%
0 1789
 
3.5%
R 1770
 
3.4%
V 1720
 
3.3%
Other values (58) 21676
42.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 51511
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
8817
17.1%
E 3479
 
6.8%
A 3131
 
6.1%
S 2549
 
4.9%
N 2300
 
4.5%
1 2204
 
4.3%
T 2076
 
4.0%
0 1789
 
3.5%
R 1770
 
3.4%
V 1720
 
3.3%
Other values (58) 21676
42.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 51511
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
8817
17.1%
E 3479
 
6.8%
A 3131
 
6.1%
S 2549
 
4.9%
N 2300
 
4.5%
1 2204
 
4.3%
T 2076
 
4.0%
0 1789
 
3.5%
R 1770
 
3.4%
V 1720
 
3.3%
Other values (58) 21676
42.1%

City
Categorical

Imbalance 

Distinct3
Distinct (%)0.1%
Missing2
Missing (%)0.1%
Memory size179.8 KiB
CHICAGO
2867 
Chicago
 
5
chicago
 
1

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters20111
Distinct characters12
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowCHICAGO
2nd rowCHICAGO
3rd rowCHICAGO
4th rowCHICAGO
5th rowCHICAGO

Common Values

ValueCountFrequency (%)
CHICAGO 2867
99.7%
Chicago 5
 
0.2%
chicago 1
 
< 0.1%
(Missing) 2
 
0.1%

Length

2025-04-14T22:58:44.997718image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T22:58:45.060570image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
chicago 2873
100.0%

Most occurring characters

ValueCountFrequency (%)
C 5739
28.5%
H 2867
14.3%
I 2867
14.3%
A 2867
14.3%
G 2867
14.3%
O 2867
14.3%
c 7
 
< 0.1%
h 6
 
< 0.1%
i 6
 
< 0.1%
a 6
 
< 0.1%
Other values (2) 12
 
0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 20111
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
C 5739
28.5%
H 2867
14.3%
I 2867
14.3%
A 2867
14.3%
G 2867
14.3%
O 2867
14.3%
c 7
 
< 0.1%
h 6
 
< 0.1%
i 6
 
< 0.1%
a 6
 
< 0.1%
Other values (2) 12
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 20111
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
C 5739
28.5%
H 2867
14.3%
I 2867
14.3%
A 2867
14.3%
G 2867
14.3%
O 2867
14.3%
c 7
 
< 0.1%
h 6
 
< 0.1%
i 6
 
< 0.1%
a 6
 
< 0.1%
Other values (2) 12
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 20111
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
C 5739
28.5%
H 2867
14.3%
I 2867
14.3%
A 2867
14.3%
G 2867
14.3%
O 2867
14.3%
c 7
 
< 0.1%
h 6
 
< 0.1%
i 6
 
< 0.1%
a 6
 
< 0.1%
Other values (2) 12
 
0.1%

State
Categorical

Constant 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size165.8 KiB
IL
2875 

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters5750
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowIL
2nd rowIL
3rd rowIL
4th rowIL
5th rowIL

Common Values

ValueCountFrequency (%)
IL 2875
100.0%

Length

2025-04-14T22:58:45.147409image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T22:58:45.201794image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
il 2875
100.0%

Most occurring characters

ValueCountFrequency (%)
I 2875
50.0%
L 2875
50.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 5750
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
I 2875
50.0%
L 2875
50.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 5750
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
I 2875
50.0%
L 2875
50.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 5750
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
I 2875
50.0%
L 2875
50.0%

Zip
Real number (ℝ)

Distinct57
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60630.661
Minimum60601
Maximum60707
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.6 KiB
2025-04-14T22:58:45.284170image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum60601
5-th percentile60607
Q160615
median60628
Q360642
95-th percentile60659
Maximum60707
Range106
Interquartile range (IQR)27

Descriptive statistics

Standard deviation19.653948
Coefficient of variation (CV)0.00032415856
Kurtosis2.4707247
Mean60630.661
Median Absolute Deviation (MAD)13
Skewness1.1836451
Sum1.7431315 × 108
Variance386.27767
MonotonicityNot monotonic
2025-04-14T22:58:45.414750image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60608 102
 
3.5%
60611 101
 
3.5%
60618 101
 
3.5%
60639 101
 
3.5%
60625 92
 
3.2%
60607 89
 
3.1%
60634 89
 
3.1%
60622 86
 
3.0%
60659 80
 
2.8%
60620 77
 
2.7%
Other values (47) 1957
68.1%
ValueCountFrequency (%)
60601 26
 
0.9%
60602 15
 
0.5%
60603 11
 
0.4%
60604 7
 
0.2%
60605 27
 
0.9%
60606 20
 
0.7%
60607 89
3.1%
60608 102
3.5%
60609 44
1.5%
60610 51
1.8%
ValueCountFrequency (%)
60707 57
2.0%
60666 25
 
0.9%
60661 12
 
0.4%
60660 24
 
0.8%
60659 80
2.8%
60657 73
2.5%
60656 17
 
0.6%
60655 28
 
1.0%
60654 52
1.8%
60653 29
 
1.0%
Distinct42
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size22.6 KiB
Minimum2025-01-02 00:00:00
Maximum2025-03-05 00:00:00
Invalid dates0
Invalid dates (%)0.0%
2025-04-14T22:58:45.546252image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-14T22:58:45.680938image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=42)

Inspection Type
Categorical

Distinct10
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size188.7 KiB
Canvass
1532 
License
369 
Canvass Re-Inspection
350 
Complaint
315 
Non-Inspection
 
131
Other values (5)
178 

Length

Max length23
Median length7
Mean length10.160696
Min length7

Characters and Unicode

Total characters29212
Distinct characters25
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowCanvass
2nd rowCanvass
3rd rowNon-Inspection
4th rowCanvass
5th rowCanvass

Common Values

ValueCountFrequency (%)
Canvass 1532
53.3%
License 369
 
12.8%
Canvass Re-Inspection 350
 
12.2%
Complaint 315
 
11.0%
Non-Inspection 131
 
4.6%
Complaint Re-Inspection 97
 
3.4%
License Re-Inspection 58
 
2.0%
Short Form Complaint 18
 
0.6%
Recent Inspection 4
 
0.1%
Not Ready 1
 
< 0.1%

Length

2025-04-14T22:58:45.796609image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T22:58:45.895976image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
canvass 1882
55.0%
re-inspection 505
 
14.8%
complaint 430
 
12.6%
license 427
 
12.5%
non-inspection 131
 
3.8%
short 18
 
0.5%
form 18
 
0.5%
recent 4
 
0.1%
inspection 4
 
0.1%
not 1
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
s 4831
16.5%
a 4195
14.4%
n 4154
14.2%
C 2312
7.9%
e 2008
6.9%
v 1882
 
6.4%
i 1497
 
5.1%
o 1238
 
4.2%
t 1093
 
3.7%
c 1071
 
3.7%
Other values (15) 4931
16.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 29212
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
s 4831
16.5%
a 4195
14.4%
n 4154
14.2%
C 2312
7.9%
e 2008
6.9%
v 1882
 
6.4%
i 1497
 
5.1%
o 1238
 
4.2%
t 1093
 
3.7%
c 1071
 
3.7%
Other values (15) 4931
16.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 29212
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
s 4831
16.5%
a 4195
14.4%
n 4154
14.2%
C 2312
7.9%
e 2008
6.9%
v 1882
 
6.4%
i 1497
 
5.1%
o 1238
 
4.2%
t 1093
 
3.7%
c 1071
 
3.7%
Other values (15) 4931
16.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 29212
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
s 4831
16.5%
a 4195
14.4%
n 4154
14.2%
C 2312
7.9%
e 2008
6.9%
v 1882
 
6.4%
i 1497
 
5.1%
o 1238
 
4.2%
t 1093
 
3.7%
c 1071
 
3.7%
Other values (15) 4931
16.9%

Results
Categorical

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size177.9 KiB
Pass
1649 
Fail
569 
Pass w/ Conditions
285 
No Entry
 
158
Out of Business
 
154

Length

Max length18
Median length4
Mean length6.3012174
Min length4

Characters and Unicode

Total characters18116
Distinct characters24
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPass w/ Conditions
2nd rowPass
3rd rowNo Entry
4th rowPass
5th rowPass

Common Values

ValueCountFrequency (%)
Pass 1649
57.4%
Fail 569
 
19.8%
Pass w/ Conditions 285
 
9.9%
No Entry 158
 
5.5%
Out of Business 154
 
5.4%
Not Ready 60
 
2.1%

Length

2025-04-14T22:58:46.031668image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-04-14T22:58:46.108706image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
pass 1934
48.7%
fail 569
 
14.3%
w 285
 
7.2%
conditions 285
 
7.2%
no 158
 
4.0%
entry 158
 
4.0%
out 154
 
3.9%
of 154
 
3.9%
business 154
 
3.9%
not 60
 
1.5%

Most occurring characters

ValueCountFrequency (%)
s 4615
25.5%
a 2563
14.1%
P 1934
10.7%
i 1293
 
7.1%
1096
 
6.0%
o 942
 
5.2%
n 882
 
4.9%
t 657
 
3.6%
F 569
 
3.1%
l 569
 
3.1%
Other values (14) 2996
16.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 18116
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
s 4615
25.5%
a 2563
14.1%
P 1934
10.7%
i 1293
 
7.1%
1096
 
6.0%
o 942
 
5.2%
n 882
 
4.9%
t 657
 
3.6%
F 569
 
3.1%
l 569
 
3.1%
Other values (14) 2996
16.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 18116
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
s 4615
25.5%
a 2563
14.1%
P 1934
10.7%
i 1293
 
7.1%
1096
 
6.0%
o 942
 
5.2%
n 882
 
4.9%
t 657
 
3.6%
F 569
 
3.1%
l 569
 
3.1%
Other values (14) 2996
16.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 18116
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
s 4615
25.5%
a 2563
14.1%
P 1934
10.7%
i 1293
 
7.1%
1096
 
6.0%
o 942
 
5.2%
n 882
 
4.9%
t 657
 
3.6%
F 569
 
3.1%
l 569
 
3.1%
Other values (14) 2996
16.5%

Violations
Text

Missing 

Distinct2015
Distinct (%)99.8%
Missing855
Missing (%)29.7%
Memory size2.2 MiB
2025-04-14T22:58:46.385430image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length7324
Median length1605
Mean length1059.3267
Min length39

Characters and Unicode

Total characters2139840
Distinct characters83
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2010 ?
Unique (%)99.5%

Sample

1st row2. CITY OF CHICAGO FOOD SERVICE SANITATION CERTIFICATE - Comments: UPON ARRIVAL, OBSERVED NO CITY OF CHICAGO CERTIFIED FOOD MANAGER ON SITE WHILE OPEN AND OPERATING. INSTRUCTED A CITY OF CHICAGO CERTIFIED FOOD MANAGER MUST BE ON SITE AT ALL TIMES WHILE OPEN AND OPERATING. PRIORITY FOUNDATION VIOLATION 7-38-012, CITATION ISSUED | 10. ADEQUATE HANDWASHING SINKS PROPERLY SUPPLIED AND ACCESSIBLE - Comments: 6-301.14: OBSERVED NO HANDWASHING SIGNS AT EXPOSED HANDSINK IN THE BASEMENT OR IN EMPLOYEE WASHROOM; INSTRUCTED TO PROVIDE. | 38. INSECTS, RODENTS, & ANIMALS NOT PRESENT - Comments: 6-501.112: OBSERVED DEAD ROACHES INSIDE THE MOP SINK BASIN IN THE BUTCHER AREA, STICKY TRAPS IN BASEMENT FLOORS, ON THE WALL NEAR THE HOOD IN THE BASEMENT PREP AREA. INSTRUCTED TO REMOVE DEAD ROACHES AND MAINTAIN. | 49. NON-FOOD/FOOD CONTACT SURFACES CLEAN - Comments: OBSERVED SHELF UNDER FOOD PREP TABLE BEHIND BUTCHER AREA WITH RUST. ALSO, OBSERVED DEBRIS ON THE SHELVES IN THE SHOPPING AISLES. INSTRUCTED TO REMOVE RUST AND DEBRIS AND MAKE SURFACE SMOOTH AND EASILY CLEANABLE.
2nd row36. THERMOMETERS PROVIDED & ACCURATE - Comments: OBSERVED NO AMBIENT AIR THERMOMETER INSIDE THE COLD HOLDING UNITS ON SITE. INSTRUCTED TO PROVIDE AND MAINTAIN. | 53. TOILET FACILITIES: PROPERLY CONSTRUCTED, SUPPLIED, & CLEANED - Comments: OBSERVED THE TOILET SEAT AND TOILET FIXTURES IN THE WOMEN'S TOILET ROOM IN NEED OF CLEANING. DRIED BODILY FLUID OBSERVED ON THE MENTIONED FIXTURES. INSTRUCTED TO CLEAN AND MAINTAIN.
3rd row10. ADEQUATE HANDWASHING SINKS PROPERLY SUPPLIED AND ACCESSIBLE - Comments: OBSERVED NO HANDWASHING SIGNAGE AT THE HANDWASHING SINK NEAR THE THREE COMPARTMENT SINK IN THE REAR. INSTRUCTED TO PROVIDE AND MAINTAIN. | 47. FOOD & NON-FOOD CONTACT SURFACES CLEANABLE, PROPERLY DESIGNED, CONSTRUCTED & USED - Comments: OBSERVED THE LOWER SHELVES UNDER THE FOOD PREP TABLES IN THE REAR FOOD PREP AREA WITH SLIGHT DEBRIS. INSTRUCTED TO REMOVE DEBRIS AND MAINTAIN. | 51. PLUMBING INSTALLED; PROPER BACKFLOW DEVICES - Comments: OBSERVED NO BACKFLOW PREVENTION DEVICE ON THE ICE MACHINE IN THE REAR FOOD PREP AREA. INSTRUCTED TO INSTALL AN ADEQUATE BACKFLOW PREVENTION DEVICE ON THE ICE MACHINE. | 53. TOILET FACILITIES: PROPERLY CONSTRUCTED, SUPPLIED, & CLEANED - Comments: OBSERVED NO LID FOR GARBAGE RECEPTACLE IN GENDER NEUTRAL TOILET ROOMS. INSTRUCTED TO PROVIDE FOR DISPOSAL OF FEMININE PRODUCTS. | 55. PHYSICAL FACILITIES INSTALLED, MAINTAINED & CLEAN - Comments: OBSERVED THE FOLLOWING IN NEED OF CLEANING: THE CREVICES OF THE WALLBASES THROUGHOUT REAR FOOD PREP AREA ESPECIALLY UNDER THE HOT HOLDING EQUIPMENT, THE FLOOR INSIDE THE WALK-IN COOLER, WALLS UNDER THE THREE COMPARTMENT SINK AND ON THE SIDE OF THE HOT HOLDING EQUIPMENT. INSTRUCTED TO CLEAN AND MAINTAIN.
4th row10. ADEQUATE HANDWASHING SINKS PROPERLY SUPPLIED AND ACCESSIBLE - Comments: OBSERVED TOILET ROOM CLOSEST TO DINING AREA HANDWASHING SINK NOT ABLE TO RUN WATER WITHOUT LETTING GO OF MIXED WATER KNOB.INSTRUCTED TO REPAIR AND ENSURE SINK CAN RUN ATLEAST 15 SECONDS WITHOUT REACTIVATING WATER AND BEING ABLE ADEQUATELY WASH BOTH HANDS. | 53. TOILET FACILITIES: PROPERLY CONSTRUCTED, SUPPLIED, & CLEANED - Comments: OBSERVED EMPLOYEE LOCKER ROOM WITH A TOILET AND HANDWASHING SINK WITH A DOOR THAT IS NOT SELF CLOSING. INSTRUCTED TO REPAIR AND MAINTAIN.
5th row22. PROPER COLD HOLDING TEMPERATURES - Comments: OBSERVED IMPROPER COLD HOLDING TEMPERATURES OF TCS FOODS STORED INSIDE THE REFRIGERATOR AT THE FRONT PREP/SERVICE AREA. 10 CARTONS OF HEAVY WHIPPING CREAM FOUND AT 56.8F-60.0F AND CHEDDAR CHEESE FOUND AT 50.6F. MANAGER DISCARDED APPROXIMATELY 14LBS AT $100 WORTH OF PRODUCT. MUST HAVE COLD HOLDING FOODS AT 41.0F OR BELOW. PRIORITY 7-38-005, CITATION ISSUED | 33. PROPER COOLING METHODS USED; ADEQUATE EQUIPMENT FOR TEMPERATURE CONTROL - Comments: OBSERVED AN IMPROPER TEMPERATURE OF A REFRIGERATOR AT 50.9F WITH TCS FOODS STORED INSIDE FOR SALE. A HELD FOR INSPECTION TAG PLACED ON THE UNIT. ONCE REPAIRED, PLEASE REVIEW COMMENTS FOR TAG REMOVAL. MUST HAVE COLD HOLDING UNITS AT 41.0F OR BELOW. PRIORITY 7-38-005, CITATION ISSUSED | 38. INSECTS, RODENTS, & ANIMALS NOT PRESENT - Comments: OBSERVED THE FRONT ENTRANCE DOOR SWEEP SLIGHTLY DAMAGED AT THE BOTTOM THE RIGHT SIDE OF THE DOOR. INSTRUCTED TO REPAIR AND MAINTAN. | 44. UTENSILS, EQUIPMENT & LINENS: PROPERLY STORED, DRIED, & HANDLED - Comments: OBSERVED CLEAR FOOD STORAGE CONTAINERS NOT INVERTED ON THE LOWER SHELF NEXT TO THE THREE COMPARTMENT SINK. INSTRUCTED TO INVERT AND MAINTAIN. | 58. ALLERGEN TRAINING AS REQUIRED - Comments: OBSERVED THE MANAGER ON SITE WITH NO ALLERGEN TRAINING CERTIFICATE ON SITE. INSTRUCTED ALL CERTIFIED FOOD MANAGERS MUST TAKE ALLERGEN COURSE AND MAINTAIN RECORDS ON SITE.
ValueCountFrequency (%)
21080
 
6.5%
and 11513
 
3.6%
to 8615
 
2.7%
comments 8427
 
2.6%
the 7888
 
2.4%
in 7725
 
2.4%
food 6071
 
1.9%
instructed 5771
 
1.8%
observed 5628
 
1.7%
of 5337
 
1.6%
Other values (7154) 236209
72.8%
2025-04-14T22:58:46.812946image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
327251
15.3%
E 185937
 
8.7%
N 135738
 
6.3%
A 135643
 
6.3%
I 134895
 
6.3%
O 132036
 
6.2%
T 130970
 
6.1%
R 112558
 
5.3%
S 101241
 
4.7%
D 86080
 
4.0%
Other values (73) 657491
30.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 2139840
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
327251
15.3%
E 185937
 
8.7%
N 135738
 
6.3%
A 135643
 
6.3%
I 134895
 
6.3%
O 132036
 
6.2%
T 130970
 
6.1%
R 112558
 
5.3%
S 101241
 
4.7%
D 86080
 
4.0%
Other values (73) 657491
30.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 2139840
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
327251
15.3%
E 185937
 
8.7%
N 135738
 
6.3%
A 135643
 
6.3%
I 134895
 
6.3%
O 132036
 
6.2%
T 130970
 
6.1%
R 112558
 
5.3%
S 101241
 
4.7%
D 86080
 
4.0%
Other values (73) 657491
30.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 2139840
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
327251
15.3%
E 185937
 
8.7%
N 135738
 
6.3%
A 135643
 
6.3%
I 134895
 
6.3%
O 132036
 
6.2%
T 130970
 
6.1%
R 112558
 
5.3%
S 101241
 
4.7%
D 86080
 
4.0%
Other values (73) 657491
30.7%

Latitude
Real number (ℝ)

Distinct1957
Distinct (%)68.4%
Missing12
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean41.882406
Minimum41.662677
Maximum42.021064
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.6 KiB
2025-04-14T22:58:46.932962image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum41.662677
5-th percentile41.719478
Q141.82287
median41.895796
Q341.94712
95-th percentile41.997661
Maximum42.021064
Range0.35838698
Interquartile range (IQR)0.12424953

Descriptive statistics

Standard deviation0.084480542
Coefficient of variation (CV)0.002017089
Kurtosis-0.54767721
Mean41.882406
Median Absolute Deviation (MAD)0.056407192
Skewness-0.59455028
Sum119909.33
Variance0.007136962
MonotonicityNot monotonic
2025-04-14T22:58:47.066784image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41.88945828 33
 
1.1%
42.00875077 23
 
0.8%
41.97234928 9
 
0.3%
41.85045102 9
 
0.3%
41.89214078 7
 
0.2%
41.75032239 6
 
0.2%
41.8839051 6
 
0.2%
41.80030387 6
 
0.2%
41.96825393 5
 
0.2%
41.91072929 5
 
0.2%
Other values (1947) 2754
95.8%
(Missing) 12
 
0.4%
ValueCountFrequency (%)
41.66267727 1
< 0.1%
41.66737294 2
0.1%
41.67044238 1
< 0.1%
41.67747786 1
< 0.1%
41.6775919 2
0.1%
41.67761706 2
0.1%
41.68194036 1
< 0.1%
41.68293421 2
0.1%
41.68300249 1
< 0.1%
41.68399182 1
< 0.1%
ValueCountFrequency (%)
42.02106425 2
0.1%
42.02086075 1
 
< 0.1%
42.02080848 1
 
< 0.1%
42.01942097 2
0.1%
42.01942088 4
0.1%
42.01926996 1
 
< 0.1%
42.01920331 1
 
< 0.1%
42.0190979 1
 
< 0.1%
42.01865151 2
0.1%
42.01721933 2
0.1%

Longitude
Real number (ℝ)

Distinct1957
Distinct (%)68.4%
Missing12
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean-87.684834
Minimum-87.906874
Maximum-87.525094
Zeros0
Zeros (%)0.0%
Negative2863
Negative (%)99.6%
Memory size22.6 KiB
2025-04-14T22:58:47.208717image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-87.906874
5-th percentile-87.799787
Q1-87.721174
median-87.674321
Q3-87.641925
95-th percentile-87.603671
Maximum-87.525094
Range0.38178
Interquartile range (IQR)0.079249092

Descriptive statistics

Standard deviation0.061451127
Coefficient of variation (CV)-0.00070081819
Kurtosis0.74067494
Mean-87.684834
Median Absolute Deviation (MAD)0.03895084
Skewness-0.6298443
Sum-251041.68
Variance0.003776241
MonotonicityNot monotonic
2025-04-14T22:58:47.351107image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-87.62036838 33
 
1.1%
-87.90687413 23
 
0.8%
-87.74682509 9
 
0.3%
-87.65879786 9
 
0.3%
-87.62431278 7
 
0.2%
-87.64418241 6
 
0.2%
-87.70605925 6
 
0.2%
-87.73174241 6
 
0.2%
-87.68817247 5
 
0.2%
-87.65315262 5
 
0.2%
Other values (1947) 2754
95.8%
(Missing) 12
 
0.4%
ValueCountFrequency (%)
-87.90687413 23
0.8%
-87.90530913 1
 
< 0.1%
-87.86302998 1
 
< 0.1%
-87.84631989 2
 
0.1%
-87.8448585 1
 
< 0.1%
-87.84438867 1
 
< 0.1%
-87.84407563 3
 
0.1%
-87.83838526 1
 
< 0.1%
-87.8368381 1
 
< 0.1%
-87.83683755 1
 
< 0.1%
ValueCountFrequency (%)
-87.52509414 1
< 0.1%
-87.52512485 2
0.1%
-87.5258717 2
0.1%
-87.52664793 1
< 0.1%
-87.52694018 1
< 0.1%
-87.52797024 1
< 0.1%
-87.53326501 1
< 0.1%
-87.53497435 1
< 0.1%
-87.53513166 1
< 0.1%
-87.53513677 1
< 0.1%
Distinct1957
Distinct (%)68.4%
Missing12
Missing (%)0.4%
Memory size269.0 KiB
2025-04-14T22:58:47.686995image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length40
Median length39
Mean length39.045756
Min length35

Characters and Unicode

Total characters111788
Distinct characters16
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1310 ?
Unique (%)45.8%

Sample

1st row(41.84995400192252, -87.63209419559098)
2nd row(41.85605269621059, -87.62731125804903)
3rd row(41.97452873707269, -87.69233925845519)
4th row(41.85666310572283, -87.64178573004398)
5th row(41.83831568602238, -87.6340451596087)
ValueCountFrequency (%)
41.88945828010943 33
 
0.6%
87.62036837642913 33
 
0.6%
87.90687413400109 23
 
0.4%
42.00875076599798 23
 
0.4%
87.65879785567869 9
 
0.2%
41.85045102427 9
 
0.2%
87.74682508578468 9
 
0.2%
41.97234928256036 9
 
0.2%
87.62431278442189 7
 
0.1%
41.892140783720365 7
 
0.1%
Other values (3904) 5564
97.2%
2025-04-14T22:58:48.684257image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 11543
10.3%
7 11366
10.2%
4 10599
9.5%
1 9889
8.8%
6 9438
8.4%
9 8784
7.9%
5 7945
 
7.1%
2 7651
 
6.8%
3 7546
 
6.8%
0 6986
 
6.2%
Other values (6) 20041
17.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 111788
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
8 11543
10.3%
7 11366
10.2%
4 10599
9.5%
1 9889
8.8%
6 9438
8.4%
9 8784
7.9%
5 7945
 
7.1%
2 7651
 
6.8%
3 7546
 
6.8%
0 6986
 
6.2%
Other values (6) 20041
17.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 111788
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
8 11543
10.3%
7 11366
10.2%
4 10599
9.5%
1 9889
8.8%
6 9438
8.4%
9 8784
7.9%
5 7945
 
7.1%
2 7651
 
6.8%
3 7546
 
6.8%
0 6986
 
6.2%
Other values (6) 20041
17.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 111788
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
8 11543
10.3%
7 11366
10.2%
4 10599
9.5%
1 9889
8.8%
6 9438
8.4%
9 8784
7.9%
5 7945
 
7.1%
2 7651
 
6.8%
3 7546
 
6.8%
0 6986
 
6.2%
Other values (6) 20041
17.9%

Interactions

2025-04-14T22:58:40.118644image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-14T22:58:37.635168image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-14T22:58:38.322896image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-14T22:58:38.880661image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-14T22:58:39.563105image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-14T22:58:40.231580image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-14T22:58:37.872414image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-14T22:58:38.429654image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-14T22:58:38.990798image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-14T22:58:39.672342image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-14T22:58:40.437701image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-14T22:58:38.000717image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-14T22:58:38.545504image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-14T22:58:39.092783image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-14T22:58:39.783357image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-14T22:58:40.561522image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-14T22:58:38.100884image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-14T22:58:38.649250image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-14T22:58:39.186461image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-14T22:58:39.891255image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-14T22:58:40.672657image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-14T22:58:38.212161image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-14T22:58:38.764700image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-14T22:58:39.292516image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-04-14T22:58:40.003975image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2025-04-14T22:58:49.814806image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
CityFacility TypeInspection IDInspection TypeLatitudeLicense #LongitudeResultsRiskZip
City1.0000.0000.0240.0760.0600.0000.0170.0000.0000.051
Facility Type0.0001.0000.0660.1490.1120.2240.0910.0980.3320.144
Inspection ID0.0240.0661.0000.073-0.0520.033-0.0060.0430.0220.018
Inspection Type0.0760.1490.0731.0000.0410.1890.0600.4590.2410.069
Latitude0.0600.112-0.0520.0411.000-0.014-0.4560.0600.0990.271
License #0.0000.2240.0330.189-0.0141.0000.0270.1100.138-0.037
Longitude0.0170.091-0.0060.060-0.4560.0271.0000.0690.068-0.461
Results0.0000.0980.0430.4590.0600.1100.0691.0000.1500.063
Risk0.0000.3320.0220.2410.0990.1380.0680.1501.0000.065
Zip0.0510.1440.0180.0690.271-0.037-0.4610.0630.0651.000

Missing values

2025-04-14T22:58:40.850080image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2025-04-14T22:58:41.004998image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2025-04-14T22:58:41.237166image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

Inspection IDDBA NameAKA NameLicense #Facility TypeRiskAddressCityStateZipInspection DateInspection TypeResultsViolationsLatitudeLongitudeLocation
02609909HAPPY MARKETHAPPY MARKET2912802.0Grocery StoreRisk 2 (Medium)2334 S WENTWORTH AVECHICAGOIL60616.02025-01-02CanvassPass w/ Conditions2. CITY OF CHICAGO FOOD SERVICE SANITATION CERTIFICATE - Comments: UPON ARRIVAL, OBSERVED NO CITY OF CHICAGO CERTIFIED FOOD MANAGER ON SITE WHILE OPEN AND OPERATING. INSTRUCTED A CITY OF CHICAGO CERTIFIED FOOD MANAGER MUST BE ON SITE AT ALL TIMES WHILE OPEN AND OPERATING. PRIORITY FOUNDATION VIOLATION 7-38-012, CITATION ISSUED | 10. ADEQUATE HANDWASHING SINKS PROPERLY SUPPLIED AND ACCESSIBLE - Comments: 6-301.14: OBSERVED NO HANDWASHING SIGNS AT EXPOSED HANDSINK IN THE BASEMENT OR IN EMPLOYEE WASHROOM; INSTRUCTED TO PROVIDE. | 38. INSECTS, RODENTS, & ANIMALS NOT PRESENT - Comments: 6-501.112: OBSERVED DEAD ROACHES INSIDE THE MOP SINK BASIN IN THE BUTCHER AREA, STICKY TRAPS IN BASEMENT FLOORS, ON THE WALL NEAR THE HOOD IN THE BASEMENT PREP AREA. INSTRUCTED TO REMOVE DEAD ROACHES AND MAINTAIN. | 49. NON-FOOD/FOOD CONTACT SURFACES CLEAN - Comments: OBSERVED SHELF UNDER FOOD PREP TABLE BEHIND BUTCHER AREA WITH RUST. ALSO, OBSERVED DEBRIS ON THE SHELVES IN THE SHOPPING AISLES. INSTRUCTED TO REMOVE RUST AND DEBRIS AND MAKE SURFACE SMOOTH AND EASILY CLEANABLE.41.849954-87.632094(41.84995400192252, -87.63209419559098)
12609927SAT KAIVAL FOOD INC/SUBWAYSAT KAIVAL FOOD INC/SUBWAY2728400.0RestaurantRisk 1 (High)1916 S STATE STCHICAGOIL60616.02025-01-02CanvassPass36. THERMOMETERS PROVIDED & ACCURATE - Comments: OBSERVED NO AMBIENT AIR THERMOMETER INSIDE THE COLD HOLDING UNITS ON SITE. INSTRUCTED TO PROVIDE AND MAINTAIN. | 53. TOILET FACILITIES: PROPERLY CONSTRUCTED, SUPPLIED, & CLEANED - Comments: OBSERVED THE TOILET SEAT AND TOILET FIXTURES IN THE WOMEN'S TOILET ROOM IN NEED OF CLEANING. DRIED BODILY FLUID OBSERVED ON THE MENTIONED FIXTURES. INSTRUCTED TO CLEAN AND MAINTAIN.41.856053-87.627311(41.85605269621059, -87.62731125804903)
22610482DANCEN GRILL RESTAURANT, INC.DANCEN2341747.0RestaurantRisk 1 (High)5114 N LINCOLN AVECHICAGOIL60625.02025-01-14Non-InspectionNo EntryNaN41.974529-87.692339(41.97452873707269, -87.69233925845519)
32610081MARYS TAQUERIA AND GROCERY STORE, INC.MARYS FOOD AND GROCERY STORE2326530.0RestaurantRisk 1 (High)1901 S CANALPORT AVECHICAGOIL60616.02025-01-06CanvassPass10. ADEQUATE HANDWASHING SINKS PROPERLY SUPPLIED AND ACCESSIBLE - Comments: OBSERVED NO HANDWASHING SIGNAGE AT THE HANDWASHING SINK NEAR THE THREE COMPARTMENT SINK IN THE REAR. INSTRUCTED TO PROVIDE AND MAINTAIN. | 47. FOOD & NON-FOOD CONTACT SURFACES CLEANABLE, PROPERLY DESIGNED, CONSTRUCTED & USED - Comments: OBSERVED THE LOWER SHELVES UNDER THE FOOD PREP TABLES IN THE REAR FOOD PREP AREA WITH SLIGHT DEBRIS. INSTRUCTED TO REMOVE DEBRIS AND MAINTAIN. | 51. PLUMBING INSTALLED; PROPER BACKFLOW DEVICES - Comments: OBSERVED NO BACKFLOW PREVENTION DEVICE ON THE ICE MACHINE IN THE REAR FOOD PREP AREA. INSTRUCTED TO INSTALL AN ADEQUATE BACKFLOW PREVENTION DEVICE ON THE ICE MACHINE. | 53. TOILET FACILITIES: PROPERLY CONSTRUCTED, SUPPLIED, & CLEANED - Comments: OBSERVED NO LID FOR GARBAGE RECEPTACLE IN GENDER NEUTRAL TOILET ROOMS. INSTRUCTED TO PROVIDE FOR DISPOSAL OF FEMININE PRODUCTS. | 55. PHYSICAL FACILITIES INSTALLED, MAINTAINED & CLEAN - Comments: OBSERVED THE FOLLOWING IN NEED OF CLEANING: THE CREVICES OF THE WALLBASES THROUGHOUT REAR FOOD PREP AREA ESPECIALLY UNDER THE HOT HOLDING EQUIPMENT, THE FLOOR INSIDE THE WALK-IN COOLER, WALLS UNDER THE THREE COMPARTMENT SINK AND ON THE SIDE OF THE HOT HOLDING EQUIPMENT. INSTRUCTED TO CLEAN AND MAINTAIN.41.856663-87.641786(41.85666310572283, -87.64178573004398)
42610172KOTOKOTO2872350.0RestaurantRisk 1 (High)258 W 31ST STCHICAGOIL60616.02025-01-07CanvassPass10. ADEQUATE HANDWASHING SINKS PROPERLY SUPPLIED AND ACCESSIBLE - Comments: OBSERVED TOILET ROOM CLOSEST TO DINING AREA HANDWASHING SINK NOT ABLE TO RUN WATER WITHOUT LETTING GO OF MIXED WATER KNOB.INSTRUCTED TO REPAIR AND ENSURE SINK CAN RUN ATLEAST 15 SECONDS WITHOUT REACTIVATING WATER AND BEING ABLE ADEQUATELY WASH BOTH HANDS. | 53. TOILET FACILITIES: PROPERLY CONSTRUCTED, SUPPLIED, & CLEANED - Comments: OBSERVED EMPLOYEE LOCKER ROOM WITH A TOILET AND HANDWASHING SINK WITH A DOOR THAT IS NOT SELF CLOSING. INSTRUCTED TO REPAIR AND MAINTAIN.41.838316-87.634045(41.83831568602238, -87.6340451596087)
52610336SHARKS FISH-CHICKENSHARKS FISH-CHICKEN2079668.0RestaurantRisk 2 (Medium)250-252 E 35TH STCHICAGOIL60616.02025-01-10CanvassOut of BusinessNaN41.831187-87.619788(41.831187404696436, -87.61978768516512)
62611120Big Hill CantinaBig Hill Bar & Grill1678004.0RestaurantRisk 1 (High)3307 W BRYN MAWR AVECHICAGOIL60659.02025-01-27Non-InspectionNo EntryNaN41.982925-87.711613(41.982925247986955, -87.71161308569827)
72610622JEWEL-OSCO #3181JEWEL-OSCO2977880.0Grocery StoreRisk 3 (Low)87 W 87TH STCHICAGOIL60620.02025-01-15CanvassOut of BusinessNaN41.736145-87.626918(41.7361451282369, -87.62691784397349)
82610361MOMENTUM COFFEEMOMENTUM COFFEE2708683.0RestaurantRisk 1 (High)2119 S STATE STCHICAGOIL60616.02025-01-13CanvassPass w/ Conditions22. PROPER COLD HOLDING TEMPERATURES - Comments: OBSERVED IMPROPER COLD HOLDING TEMPERATURES OF TCS FOODS STORED INSIDE THE REFRIGERATOR AT THE FRONT PREP/SERVICE AREA. 10 CARTONS OF HEAVY WHIPPING CREAM FOUND AT 56.8F-60.0F AND CHEDDAR CHEESE FOUND AT 50.6F. MANAGER DISCARDED APPROXIMATELY 14LBS AT $100 WORTH OF PRODUCT. MUST HAVE COLD HOLDING FOODS AT 41.0F OR BELOW. PRIORITY 7-38-005, CITATION ISSUED | 33. PROPER COOLING METHODS USED; ADEQUATE EQUIPMENT FOR TEMPERATURE CONTROL - Comments: OBSERVED AN IMPROPER TEMPERATURE OF A REFRIGERATOR AT 50.9F WITH TCS FOODS STORED INSIDE FOR SALE. A HELD FOR INSPECTION TAG PLACED ON THE UNIT. ONCE REPAIRED, PLEASE REVIEW COMMENTS FOR TAG REMOVAL. MUST HAVE COLD HOLDING UNITS AT 41.0F OR BELOW. PRIORITY 7-38-005, CITATION ISSUSED | 38. INSECTS, RODENTS, & ANIMALS NOT PRESENT - Comments: OBSERVED THE FRONT ENTRANCE DOOR SWEEP SLIGHTLY DAMAGED AT THE BOTTOM THE RIGHT SIDE OF THE DOOR. INSTRUCTED TO REPAIR AND MAINTAN. | 44. UTENSILS, EQUIPMENT & LINENS: PROPERLY STORED, DRIED, & HANDLED - Comments: OBSERVED CLEAR FOOD STORAGE CONTAINERS NOT INVERTED ON THE LOWER SHELF NEXT TO THE THREE COMPARTMENT SINK. INSTRUCTED TO INVERT AND MAINTAIN. | 58. ALLERGEN TRAINING AS REQUIRED - Comments: OBSERVED THE MANAGER ON SITE WITH NO ALLERGEN TRAINING CERTIFICATE ON SITE. INSTRUCTED ALL CERTIFIED FOOD MANAGERS MUST TAKE ALLERGEN COURSE AND MAINTAIN RECORDS ON SITE.41.853650-87.626956(41.85364982727399, -87.62695608899325)
92612125LURE FISHBAR CHICAGOLURE FISHBAR2718512.0RestaurantRisk 1 (High)616 N RUSH STCHICAGOIL60611.02025-02-11CanvassPass55. PHYSICAL FACILITIES INSTALLED, MAINTAINED & CLEAN - Comments: OBSERVED MISSING AND DAMAGED FLOOR TILES IN ENTIRE REAR PREP/ DISH AREA AND THE HALL TOWARDS TOILET ROOMS. NOTED DISH AREA AND REAR PREP FLOOR GROUT IS NEEDED. INSTRUCTED TO REPAIR TO CREATE A SMOOTH AND EASILY CLEANABLE SURFACE. MUST MAINTAIN AT ALL TIMES. | 55. PHYSICAL FACILITIES INSTALLED, MAINTAINED & CLEAN - Comments: OBSERVED CHIPPED PAINT ON THE WALLS IN THE KITCHEN AND SUSHI AREA. INSTRUCTED TO RESURFACE AND REPAINT CHIPPED AREAS TO ENSURE WALLS ARE SEALED, SMOOTH AND EASILY CLEANABLE. | 55. PHYSICAL FACILITIES INSTALLED, MAINTAINED & CLEAN - Comments: OBSERVED IN DISH AREA 3 COMPARMENT SINK, THE 3RD BASIN NOT HOLDING WATER WITH STOPPER. NOTED 1 COMPARMENT SINK IN REAR BEVERAGE STATION LEAKING FROM DRAINPIPE. INSTRUCTED TO REPAIR AND MAINTAIN.41.893131-87.625559(41.89313081087328, -87.62555906428202)
Inspection IDDBA NameAKA NameLicense #Facility TypeRiskAddressCityStateZipInspection DateInspection TypeResultsViolationsLatitudeLongitudeLocation
28652610834GIORDANO'S PIZZAGIORDANO'S PIZZA35634.0RestaurantRisk 1 (High)5927 W IRVING PARK RDCHICAGOIL60634.02025-01-22Non-InspectionNo EntryNaN41.952962-87.775414(41.95296188094511, -87.77541370832724)
28662610022TACO BELL CANTINATACO BELL2831664.0RestaurantRisk 1 (High)1160 N CLARK STCHICAGOIL60610.02025-01-06CanvassPass39. CONTAMINATION PREVENTED DURING FOOD PREPARATION, STORAGE & DISPLAY - Comments: OBSERVED BOXES OF FROZEN PRODUCTS ON THE FLOOR OF THE WALK IN FREEZER LOCATED IN THE BASEMENT OF THE FACILITY. INSTRUCTED TO REMOVE AND KEEP ITEMS LIFTED OFF THE FLOOR ELEVATED AT LEAST SIX INCHES. | 47. FOOD & NON-FOOD CONTACT SURFACES CLEANABLE, PROPERLY DESIGNED, CONSTRUCTED & USED - Comments: OBSERVED A BUILD UP OF DIRT AND DEBRIS UNDER AND AROUND THE SLUSHY STATION AS WELL AS THE BEVERAGE STATION. INSTRUCTED TO CLEAN AND MAINTAIN AREAS AS NEEDED. | 55. PHYSICAL FACILITIES INSTALLED, MAINTAINED & CLEAN - Comments: OBSERVED THE FLOORS IN THE FRONT AND REAR OF THE FACILITY WITH A BUILD UP OF DIRT AND SMALL DEBRIS UNDER EQUIPMENT ALONG THE CORNERS OF THE WALLS AND SPILLAGE ON THE FLOOR UNDER THE SODA MACHINE IN THE FRONT SERVICE AREA. INSTRUCTED TO CLEAN AND MAINTAIN ALL AREAS AS A MEANS OF PREVENTING POSSIBLE PEST AND OR INSECT ACTIVITY.41.903609-87.631583(41.903609451824686, -87.63158311098476)
28672610538FADO IRISH PUBFADO IRISH PUB53945.0RestaurantRisk 1 (High)100 W GRAND AVECHICAGOIL60610.02025-01-14Non-InspectionNo EntryNaN41.891735-87.631202(41.891735020379166, -87.63120168879202)
28682610806HILTON O'HAREHILTON O'HARE/ANDIAMO'S/CAFFE MERCATO2647047.0RestaurantRisk 1 (High)11601 W TOUHY AVECHICAGOIL60666.02025-01-22Canvass Re-InspectionPass43. IN-USE UTENSILS: PROPERLY STORED - Comments: NOTED SERVING PLATES ON SHELVES AT THE DISH WASHING AREA NOT PROPERLY STORED. INSTRUCTED TO INVERT ALL SERVING PLATES TO PREVENT DUST ACCUMULATION. | 47. FOOD & NON-FOOD CONTACT SURFACES CLEANABLE, PROPERLY DESIGNED, CONSTRUCTED & USED - Comments: NOTED CUTTING BOARDS WITH OPEN SEAMS AND DARK STAINS AT THE KITCHEN PREP AREA. MUST REFINISH OR REPLACE DAMAGED OR STAINED CUTTING BOARDS. | 49. NON-FOOD/FOOD CONTACT SURFACES CLEAN - Comments: NOTED A SLIMY AND GREY SUBSTANCE INSIDE THE SODA GUN DISPENSER AT THE BAR. INSTRUCTED TO CLEAN, SANITIZE AND MAINTAIN. | 55. PHYSICAL FACILITIES INSTALLED, MAINTAINED & CLEAN - Comments: INSTRUCTED TO CLEAN FLOORS, AND FLOOR DRAINS ESPECIALLY AT THE DISH WASHING AREA, THE BAR AND THE MIDDLE PREP AREA AT THE KITCHEN.42.008751-87.906874(42.00875076599798, -87.90687413400109)
28692610859MOY LEEMOY LEE2877054.0RestaurantRisk 1 (High)5346 N MILWAUKEE AVECHICAGOIL60630.02025-01-22ComplaintPassNaN41.977764-87.769830(41.97776393135019, -87.76982985082259)
28702610937DAPPER'S EAST RESTAURANTDAPPER'S EAST RESTAURANT12540.0RestaurantRisk 1 (High)2901 W ADDISON STCHICAGOIL60618.02025-01-23Complaint Re-InspectionPass47. FOOD & NON-FOOD CONTACT SURFACES CLEANABLE, PROPERLY DESIGNED, CONSTRUCTED & USED - Comments: 4-202.16 OBSERVED RUST ON STROAGE SHELVES IN THE WALK-IN COOLER AND WALK-IN FREEZER IN THE REAR PREP AREA. INSTRUCTED THE PERSON IN CHARGE TO REMOVE RUST AND ENSURE ALL NONFOOD-CONTACT SURFACES REMAIN SMOOTH AND EASILY CLEANABLE. | 49. NON-FOOD/FOOD CONTACT SURFACES CLEAN - Comments: 4-602.13 OBSERVED ACCUMULATED FOOD FOOD DEBRIS ON INTERIOR SURFACES OF ALL COLD HOLDING EQUIPMENT IN REAR PREP AREAS. INSTRUCTED THE PERSON IN CHARGE TO DETAIL CLEAN AND MAINTAIN.41.946553-87.700536(41.94655282616904, -87.700535765616)
28712610845SHARPIE'SSHARPIE'S3002203.0RestaurantRisk 3 (Low)1721 N ELSTON AVECHICAGOIL60642.02025-01-22LicenseNot ReadyNaN41.913729-87.664223(41.91372879440366, -87.66422290709808)
28722610409ACE SUSHI @POTASH MARKETACE SUSHI2808766.0RestaurantRisk 1 (High)875 N STATE STCHICAGOIL60610.02025-01-13CanvassPass55. PHYSICAL FACILITIES INSTALLED, MAINTAINED & CLEAN - Comments: OBSERVED SMALL DEBRIS ON FLOOR IN PREP AREA. INSTRUCTED TO CLEAN AND MAINTAIN AREA. | 58. ALLERGEN TRAINING AS REQUIRED - Comments: OBSERVED NOT ALLERGEN TRAINING CERTIFICATE ON SITE FOR TU CHIN LIAN. INSTRUCTED TO OBTAIN AND PROVIDE ON SITE.41.898878-87.628111(41.89887819742381, -87.6281111483033)
28732610823Kitchen Chicago, LLCKitchen Chicago, LLC2119905.0Shared KitchenRisk 1 (High)324 N LEAVITT STCHICAGOIL60612.02025-01-22CanvassPass49. NON-FOOD/FOOD CONTACT SURFACES CLEAN - Comments: CLEAN THE STORAGE SHELVES IN ZELLA'S STORAGE CLOSET. CLEAN THE PREP TABLE UNDERNEATH THE GRILL IN THE EAST PREP AREA. CLEAN THE TOP OF THE DISHMACHINE. | 55. PHYSICAL FACILITIES INSTALLED, MAINTAINED & CLEAN - Comments: CLEAN THE FLOOR IN ZELLA'S STORAGE CLOSET. CLEAN THE WALLS BEHIND THE GRILL AND STOVE IN THE EAST AND WEST PREP AREAS. REPAINT THE WALL NEXT TO THE GRILL IN THE EAST PREP AREA WHERE THE PAINT IS CHIPPED.41.887434-87.681849(41.88743405025222, -87.68184949426895)
28742610068HANNAH'S BRETZEL 227 W. MONROE LLCHANNAH'S BRETZEL2428372.0RestaurantRisk 1 (High)227 W MONROE STCHICAGOIL60606.02025-01-06CanvassPass37. FOOD PROPERLY LABELED; ORIGINAL CONTAINER - Comments: Water spray bottles not labeled, Instructed to label.41.880539-87.634592(41.88053924995021, -87.63459246351388)